排序方式: 共有38条查询结果,搜索用时 31 毫秒
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K. Kosmidou F. Pasiouras M. Doumpos C. Zopounidis 《Central European Journal of Operations Research》2006,14(1):25-44
Further consolidation takes place not only among UK banks but also across borders, since some banks see size as a key factor
in remaining competitive in international markets. Therefore, it is interesting to investigate the effectiveness and performance
of UK banks. Based on their assets, banks are distinguished into small and large ones and a classification of UK banks in
a multivariate environment for the period 1998–2002 takes place. The PAIRCLAS multicriteria methodology is employed to investigate
the performance of UK small and large banks over multiple criteria, such as asset quality, capital adequacy, liquidity and
efficiency/profitability. A comparison with discriminant analysis (DA) and logistic regression (LR) facilitates the investigation
of the relative performance of PAIRCLAS against them. The results of the study determine the key factors that specify the
classification of a bank as small or large and provide us with the responsible banking decision makers for future readjustments. 相似文献
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Georgios D. Samaras Nikolaos F. Matsatsinis Constantin Zopounidis 《European Journal of Operational Research》2008
The paper describes a multicriteria decision support system which aims at presenting an evaluation of the Athens Stock Exchange (ASE) stocks, on the basis of fundamental analysis. The system evaluates the stocks based on the method of fundamental analysis ratios, which is the most appropriate evaluation approach regarding investment decisions within a long term horizon. In addition to quantitative data deriving from fundamental analysis, the system uses qualitative data as well, in order to improve the reliability of the evaluation. The system introduced in this paper, utilises multicriteria analysis methodologies in order to rank the stocks by placing the best stock first and the worst last. Stock evaluation considers the specific characteristics of the potential investor, as well as his attitude towards undertaken risk. The final output of the system is four stock rankings which respond to four different criteria groups, depending on the type of accounting plan each listed company belongs to. The system incorporates a large volume of relevant information and operates in ‘real world conditions’ since its data are constantly updated. Finally, the system is intended for both institutional and private investors. 相似文献
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Y. Siskos E. Grigoroudis C. Zopounidis O. Saurais 《Journal of Global Optimization》1998,12(2):175-195
A new model to assess customer satisfaction is developed through this paper. The proposed model is based on the principles of multicriteria analysis, using ordinal regression techniques. The procedure uses survey's data on customer satisfaction criteria and disaggregates simultaneously all the global satisfaction judgments via a linear programming disaggregation formulation. The model provides collective global and partial satisfaction functions as well as average satisfaction indices. These results sufficiently describe customer behavior and they can be used in the strategic planning of an organization. The implementation of the model in three real world applications is used for illustration and for testing the model's reliability. Finally, several extensions and future research in the area of customer satisfaction analysis are discussed. 相似文献
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Doumpos Michalis Papastamos Dimitrios Andritsos Dimitrios Zopounidis Constantin 《Annals of Operations Research》2021,306(1-2):415-433
Annals of Operations Research - Automated valuation models are widely used in real estate to provide estimates for property prices. Such models are typically developed through regression... 相似文献
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George Fragkiadakis Michael Doumpos Constantin Zopounidis Christophe Germain 《Annals of Operations Research》2016,247(2):787-806
The continuous growth of hospital costs has driven governments in many countries to seek ways to improve their efficiency. In Greece, this has consistently been a major issue for almost two decades, as efficiency assessment and monitoring systems are lacking. In response to this need, the evaluation of the National Health System hospitals’ efficiency level is a precondition for planning, implementing and monitoring any promising reform. In this paper, a non-parametric modeling approach is employed to assess and analyze the efficiency of 87 Greek public hospitals over the period 2005–2009, using data envelopment analysis. The operational and economic aspects of the hospitals’ operation are considered on the basis of their service/case mix and cost structure. We also investigate the efficiency trends over time with the Malmquist index and a second stage regression analysis is performed to explain the operational and economic efficiency results in terms of the hospitals’ operating characteristics and the environment in which they operate. 相似文献
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Yannis Marinakis Magdalene Marinaki Michael Doumpos Nikolaos Matsatsinis Constantin Zopounidis 《Annals of Operations Research》2011,188(1):343-358
Cluster analysis is an important tool for data exploration and it has been applied in a wide variety of fields like engineering,
economics, computer sciences, life and medical sciences, earth sciences and social sciences. The typical cluster analysis
consists of four steps (i.e. feature selection or extraction, clustering algorithm design or selection, cluster validation
and results interpretation) with feedback pathway. These steps are closely related to each other and affect the derived clusters.
In this paper, a new metaheuristic algorithm is proposed for cluster analysis. This algorithm uses an Ant Colony Optimization
to feature selection step and a Greedy Randomized Adaptive Search Procedure to clustering algorithm design step. The proposed
algorithm has been applied with very good results to many data sets. 相似文献